Triple
T21909352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muna Madan |
E541021
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Muna |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Muna | Statement: [Muna Madan, featuresCharacter, Muna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muna Context triple: [Muna Madan, featuresCharacter, Muna]
-
A.
Muna
chosen
Muna is an island in Indonesia known for its location in Southeast Sulawesi and its distinctive local culture and limestone landscapes.
-
B.
Muna
Muna is a town in Mexico’s Yucatán state known as a gateway to the Puuc archaeological region and nearby Maya sites such as Uxmal.
-
C.
Mudonna
Mudonna is the costumed pig mascot of the St. Paul Saints minor league baseball team, known for her playful antics and fan interaction at games.
-
D.
Mama Nadi
Mama Nadi is the tough, pragmatic brothel owner at the center of Lynn Nottage’s play "Ruined," embodying the moral ambiguities and survival strategies of women in a war-torn Congo.
-
E.
Mihna
The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d8c3108190a178ec6b3857da3f |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:39 p.m.